poweRlaw 0.70.6-foss-2019b-R-3.6.2An implementation of maximum likelihood estimators for a variety of heavy tailed distributions, including both the discrete and continuous power law distributions. Additionally, a goodness-of-fit based approach is used to estimate the lower cut-off for the scaling region.
Accessing poweRlaw 0.70.6-foss-2019b-R-3.6.2
To load the module for poweRlaw 0.70.6-foss-2019b-R-3.6.2 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):
module load poweRlaw/0.70.6-foss-2019b-R-3.6.2
BEAR Apps Version
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
- BEAR Cloud and CaStLeS VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
- poweRlaw 0.70.6
For more information visit the poweRlaw website.
Last modified on 21st September 2020